Implementing Data Storage with Azure Data Lake from Pluralsight

Azure Data Lake Storage can make processing big data analytical solutions more efficient. This course will teach you how to design and implement data storage with Azure Data Lake.

Globomantics Corporation is interested in using Azure to analyze all of their business data. In this course, Implementing Data Storage with Azure Data Lake, you’ll learn to design, build, and monitor an Azure Data Lake solution. First, you’ll explore Azure Data Lake Storage. Next, you’ll discover operationalizing data movement and preparation with Azure Data Factory. Finally, you’ll learn how to monitor and troubleshoot the implemented solution. When you’re finished with this course, you’ll have the skills and knowledge of a data engineer needed to design and implement a data storage solution with Azure Data Lake.

What's inside

Syllabus

Course Overview

Introduction to Azure Data Lake Storage

Operationalize Azure Data Factory

Monitoring Azure Data Lake Storage

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores Azure Data Lake Storage, which is a popular tool for big data analytics

Taught by Bismark Adomako, who is an experienced instructor in data engineering

Teaches skills and knowledge needed to design and implement a data storage solution with Azure Data Lake

Develops operationalizing data movement and preparation with Azure Data Factory, which is a valuable skill in data engineering

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Implementing Data Storage with Azure Data Lake with these activities:

Read Microsoft Azure Essentials: Fundamentals of Azure

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Develop an understanding of cloud computing and storage fundamentals in the Microsoft Azure environment.

View Fundamentals of Azure Microsoft Azure Essentials on Amazon

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Read the book from start to finish
Take notes on key concepts and definitions
Complete the practice exercises and quizzes

Compile a Collection of Azure Data Lake Storage Resources

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Organize and maintain a curated collection of valuable resources related to Azure Data Lake Storage.

Browse courses on Azure Data Lake Storage

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Use a note-taking app or digital notebook
Gather articles, tutorials, videos, and other materials from reputable sources
Categorize and tag the resources for easy organization

Follow Microsoft Azure Data Lake Storage Tutorials

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Gain step-by-step guidance and practical experience by following official Microsoft Azure tutorials on Data Lake Storage.

Browse courses on Azure Data Lake Storage

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Visit the Microsoft Azure documentation portal
Search for tutorials related to Azure Data Lake Storage
Follow the instructions and complete the hands-on exercises

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Create an Azure Data Lake Storage Account

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Get hands-on experience with the Azure Data Lake Storage service by creating and managing an account.

Browse courses on Azure Data Lake Storage

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Visit the Microsoft Azure portal and sign in with your account
Click on the "Create a resource" button and search for "Storage"
Select the "Data Lake Storage Gen2" option within the Storage section
Provide the necessary information to create the account, such as name, region, and pricing tier
Review and accept the terms and conditions

Complete Azure Data Lake Storage Code Exercises

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Reinforce your understanding of programming concepts related to Azure Data Lake Storage by completing hands-on coding exercises.

Browse courses on Azure Data Lake Storage

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Find online code exercises or tutorials related to Azure Data Lake Storage
Complete the exercises and verify your results
Troubleshoot any errors and seek assistance if needed

Attend an Azure Data Lake Storage Workshop

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Deepen your knowledge and skills by attending an in-person or virtual workshop focused on Azure Data Lake Storage.

Browse courses on Azure Data Lake Storage

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Search for Azure Data Lake Storage workshops in your area or online
Register for the workshop and attend all sessions
Participate actively and ask questions

Write a blog post about Azure Data Lake Storage

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Share your knowledge and understanding of Azure Data Lake Storage by writing a comprehensive blog post.

Browse courses on Azure Data Lake Storage

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Choose a specific topic or angle related to Azure Data Lake Storage
Research and gather information from reputable sources
Write a clear and concise blog post outline
Develop the content, providing valuable insights and examples
Edit and proofread your post carefully

Design an Azure Data Lake Storage Solution for a Real-World Scenario

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Apply the concepts and skills learned in the course to design a practical solution for managing and analyzing data in a real-world business scenario.

Browse courses on Azure Data Lake Storage

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Identify a business scenario and define the data requirements
Design the Azure Data Lake Storage architecture and components
Develop a data ingestion and processing pipeline
Integrate with other Azure services for data analytics
Create a detailed technical document describing the solution

Career center

Learners who complete Implementing Data Storage with Azure Data Lake will develop knowledge and skills that may be useful to these careers:

Data Engineer

A Data Engineer designs, builds, and maintains data storage solutions. They work with data scientists and other data professionals to ensure that data is accessible, reliable, and secure. This course will teach you the skills you need to become a Data Engineer, including how to design and implement data storage solutions with Azure Data Lake. Indeed, much of what a Data Engineer does daily involves data storage and data lakes.

See salaries and explore the career path for Data Engineer

Data Architect

A Data Architect designs and manages data systems. They work with business stakeholders and IT teams to ensure that data systems meet the needs of the business. This course will teach you the skills you need to become a Data Architect, including how to design and implement data storage solutions with Azure Data Lake. Data Architects must be familiar with many of the same skills and systems as Data Engineers.

See salaries and explore the career path for Data Architect

Data Scientist

A Data Scientist uses data to solve business problems. They work with data engineers and other data professionals to build and deploy machine learning models. This course may be useful for Data Scientists who want to learn more about how to store and manage data with Azure Data Lake. Familiarity with data storage and data lakes can be very helpful for a Data Scientist.

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Business Intelligence Analyst

A Business Intelligence Analyst uses data to help businesses make better decisions. They work with data scientists and other data professionals to analyze data and identify trends. This course may be useful for Business Intelligence Analysts who want to learn more about how to store and manage data with Azure Data Lake. A Business Intelligence Analyst who understands data storage and data lakes can extract and prepare the data that they need for analyses.

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Storage Engineer

A Storage Engineer designs, develops, and maintains storage systems. They work with other IT professionals to ensure that storage systems meet the needs of the business. This course may be useful for Storage Engineers who want to learn more about how to store and manage data with Azure Data Lake. Understanding data storage and data lakes is important for Storage Engineers who are responsible for managing the storage infrastructure of data-driven organizations.

See salaries and explore the career path for Storage Engineer

Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models. They work with data scientists and other data professionals to build and deploy machine learning solutions. This course may be useful for Machine Learning Engineers who want to learn more about how to store and manage data with Azure Data Lake. Data storage and data lakes are important for building and training effective machine learning models.

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Software Engineer

A Software Engineer designs, develops, and maintains software applications. They work with other software engineers and IT professionals to ensure that software applications meet the needs of the business. This course may be useful for Software Engineers who want to learn more about how to store and manage data with Azure Data Lake. Software Engineers are increasingly being expected to be able to architect and build data-driven applications that rely on data lakes.

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Data Analyst

A Data Analyst uses data to identify trends and patterns. They work with other data professionals to develop and implement data analysis solutions. This course may be useful for Data Analysts who want to learn more about how to store and manage data with Azure Data Lake. Data Analysts need to be able to access, explore, and analyze data, skills that are enabled by data lakes.

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Systems Engineer

A Systems Engineer designs, develops, and maintains computer systems. They work with other IT professionals to ensure that computer systems meet the needs of the business. This course may be useful for Systems Engineers who want to learn more about how to store and manage data with Azure Data Lake. Systems Engineers will increasingly need to understand data storage and data lake technologies as these technologies become more important for building and deploying data-driven applications.

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Database Administrator

A Database Administrator manages and maintains databases. They work with database users to ensure that databases are available, reliable, and secure. This course may be useful for Database Administrators who want to learn more about how to store and manage data with Azure Data Lake. A Database Administrator is expected to stay abreast of storage technologies and practices, which could include data storage and data lakes.

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IT Manager

An IT Manager plans and manages the IT infrastructure of an organization. They work with other IT professionals to ensure that the IT infrastructure meets the needs of the business. This course may be useful for IT Managers who want to learn more about how to store and manage data with Azure Data Lake. Understanding data storage and data lakes is important for IT Managers who are responsible for managing the IT infrastructure of data-driven organizations.

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Cloud Architect

A Cloud Architect designs and manages cloud computing solutions. They work with other IT professionals to ensure that cloud computing solutions meet the needs of the business. This course may be useful for Cloud Architects who want to learn more about how to store and manage data with Azure Data Lake. Data lakes often form a central part of cloud-based data processing architectures.

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DevOps Engineer

A DevOps Engineer works with developers and operations teams to ensure that software applications are deployed and maintained efficiently. This course may be useful for DevOps Engineers who want to learn more about how to store and manage data with Azure Data Lake. DevOps Engineers will increasingly need to understand data storage and data lake technologies as these technologies become more important for building and deploying data-driven applications.

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Security Engineer

A Security Engineer designs, develops, and maintains security systems. They work with other IT professionals to ensure that security systems meet the needs of the business. This course may be useful for Security Engineers who want to learn more about how to store and manage data with Azure Data Lake. Security Engineers will increasingly need to understand data storage and data lake technologies as these technologies become more important for building and deploying data-driven applications.

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Network Engineer

A Network Engineer designs, develops, and maintains computer networks. They work with other IT professionals to ensure that computer networks meet the needs of the business. This course may be useful for Network Engineers who want to learn more about how to store and manage data with Azure Data Lake. Network Engineers will increasingly need to understand data storage and data lake technologies as these technologies become more important for building and deploying data-driven applications.

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Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Implementing Data Storage with Azure Data Lake.

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Provides a broader context for the course by exploring the principles and patterns of designing data-intensive applications. It covers data modeling, data processing, and system architecture. While not directly focused on Azure Data Lake Storage, it offers valuable insights for data engineers working with big data technologies.

Implementing Data Storage with Azure Data Lake

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What's inside

Syllabus

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Activities

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